[DOCS] Fine tunes update anomaly detection job API documentation (#47280)
* [DOCS] Fine tunes update anomaly detection job API documentation. * [DOCS] Removes delimiter to fix the table.
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@ -36,8 +36,11 @@ The following properties can be updated after the job is created:
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|=======================================================================
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|Name |Description |Requires Restart
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|`analysis_limits`: `model_memory_limit` |The approximate maximum amount of
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memory resources required for analytical processing. See <<ml-apilimits>>. | Yes
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|`analysis_limits.model_memory_limit` |The approximate maximum amount of
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memory resources required for analytical processing. See <<ml-apilimits>>. You
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can update the `analysis_limits` only while the job is closed. The
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`model_memory_limit` property value cannot be decreased below the current usage.
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| Yes
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|`background_persist_interval` |Advanced configuration option. The time between
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each periodic persistence of the model. See <<ml-job-resource>>. | Yes
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@ -46,11 +49,18 @@ each periodic persistence of the model. See <<ml-job-resource>>. | Yes
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|`description` |A description of the job. See <<ml-job-resource>>. | No
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|`detectors` |An array of <<ml-detector-update, detector update objects>>. | No
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|`detectors` |An array of detector update objects. | No
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|`detector_index` |The identifier of the detector to update (integer).| No
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|`detectors.description` |The new description for the detector.| No
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|`detectors.custom_rules` |The new list of <<ml-detector-custom-rule, rules>>
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for the detector. | No
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|`groups` |A list of job groups. See <<ml-job-resource>>. | No
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|`model_plot_config`: `enabled` |If true, enables calculation and storage of the
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|`model_plot_config.enabled` |If true, enables calculation and storage of the
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model bounds for each entity that is being analyzed.
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See <<ml-apimodelplotconfig>>. | No
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@ -73,28 +83,11 @@ effect.
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[NOTE]
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--
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* You can update the `analysis_limits` only while the job is closed.
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* The `model_memory_limit` property value cannot be decreased below the current usage.
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* If the `memory_status` property in the `model_size_stats` object has a value
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of `hard_limit`, this means that it was unable to process some data. You might
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want to re-run this job with an increased `model_memory_limit`.
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--
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[[ml-detector-update]]
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==== Detector update objects
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A detector update object has the following properties:
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`detector_index`::
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(integer) The identifier of the detector to update.
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`description`::
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(string) The new description for the detector.
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`custom_rules`::
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(array) The new list of <<ml-detector-custom-rule, rules>> for the detector.
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No other detector property can be updated.
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[[ml-update-job-example]]
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==== {api-examples-title}
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